Testing for the Unconfoundedness Assumption Using an Instrumental Assumption

Testing for the Unconfoundedness Assumption Using an Instrumental Assumption

The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption (exogeneity of the treatment) or on the availability of an instrument. When available, instruments may also be used to test for the unconfoundedness assum...

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Bibliografische gegevens
Hoofdauteurs:	de Luna Xavier, Johansson Per
Formaat:	Artikel
Taal:	English
Gepubliceerd in:	De Gruyter 2014-09-01
Reeks:	Journal of Causal Inference
Onderwerpen:	average treatment effect job practice nonparametric identification
Online toegang:	https://doi.org/10.1515/jci-2013-0011

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